Artificial Intelligence Engineer

SourcingXPress; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Work on next-gen AI problems with real business impact

Opportunity to lead and mentor

High-growth, innovation-driven environment

Job summary

A technology solutions company in Mumbai is seeking a Lead AI Engineer to drive the design and deployment of cutting-edge Generative AI systems. The ideal candidate will have 5-9 years of experience in AI/ML and proven expertise in building production-grade solutions using AWS. This role involves leading teams, mentoring engineers, and shaping the AI strategy to create impactful solutions. Join us for a chance to work on next-generation AI challenges and be part of an innovative environment.

Qualifications

• 5–9 years of experience in AI/ML, Data Science, or AI Engineering.
• 1–2 years in a technical leadership role.
• Proven track record of building and scaling production-grade AI systems.

Responsibilities

• Lead the design, development, and deployment of AI/ML and Generative AI solutions.
• Architect end-to-end GenAI systems.
• Deploy production-grade solutions using AWS.

Skills

Machine Learning

Deep Learning

Statistical Modeling

Generative AI

Python

SQL

MLOps

Tools

AWS

PyTorch

TensorFlow

Spark

Job description

🚀 Lead AI Engineer – Generative AI & Advanced ML

📍 Mumbai | 🏢 4 Days In Office | 🌐 1 Day Remote

We’re looking for a Lead AI Engineer – Generative AI who thrives at the intersection of innovation, leadership, and real‑world impact. This is an opportunity to own and scale cutting‑edge GenAI solutions end‑to‑end—from ideation to production.

If you’re passionate about building LLM‑powered applications, AI agents, and intelligent systems at scale, and enjoy leading high‑performing teams while shaping AI strategy, this role is built for you.

Responsibilities

• Lead the design, development, and deployment of AI/ML and Generative AI solutions
• Architect end‑to‑end GenAI systems (data pipelines, training, evaluation, deployment, monitoring)
• Build and scale solutions across:
  • LLM‑powered applications
  • Retrieval‑Augmented Generation (RAG)
  • Prompt engineering & optimization
  • Fine‑tuning & model adaptation
  • AI agents & orchestration workflows
• Deploy production‑grade solutions using AWS (Bedrock & SageMaker)
• Apply ML/DL techniques for forecasting, prediction, and automation
• Mentor and lead a team of AI engineers and data scientists
• Collaborate with product and business teams to deliver high‑impact AI solutions
• Ensure scalability, performance, and responsible AI practices

What We’re Looking For

• Strong expertise in Machine Learning, Deep Learning, and Statistical Modeling
• Hands‑on experience with Generative AI (LLMs, RAG, prompt engineering, fine‑tuning, AI agents)
• Proven experience deploying AI/ML solutions on AWS (Bedrock & SageMaker)
• Proficiency in Python (pandas, NumPy, scikit‑learn, PyTorch/TensorFlow)
• Solid experience with SQL and large‑scale data processing
• Strong understanding of ML system design and model evaluation

Required Experience

• 5–9 years in AI/ML, Data Science, or AI Engineering
• 1–2 years in a technical leadership role
• Proven track record of building and scaling production‑grade AI/GenAI systems

Nice to Have

• Experience with MLOps (CI/CD, monitoring, model versioning)
• Exposure to big data tools (Spark, distributed systems)
• Familiarity with vector databases (FAISS, Pinecone, Weaviate)
• Understanding of AI governance and responsible AI frameworks

Benefits

• Work on next‑gen AI problems with real business impact
• Own solutions end‑to‑end (no siloed roles)
• Be part of a high‑growth, innovation‑driven environment
• Opportunity to lead, mentor, and shape AI strategy